A domain-independent agent architecture for adaptive operation in evolving open worlds
DOI10.1016/J.ARTINT.2024.104161zbMATH Open1547.68665MaRDI QIDQ6592985
Jacob Le, Sookyung Kim, Johan de Kleer, Shiwali Mohan, Yoni Sher, Wiktor Piotrowski, Roni Stern, Sachin Grover
Publication date: 26 August 2024
Published in: Artificial Intelligence (Search for Journal in Brave)
planningagentsmodel-based reasoningagent architecturesintegrated intelligent systemsopen-world learningnovelty reasoningPDDL+
Learning and adaptive systems in artificial intelligence (68T05) Logic in artificial intelligence (68T27) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Agent technology and artificial intelligence (68T42)
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- Updating action domain descriptions
- Learning action models from plan examples using weighted MAX-SAT
- Diagnosing multiple faults
- Learning action models with minimal observability
- COLIN: planning with continuous linear numeric change
- Interval-Based Relaxation for General Numeric Planning.
- A Comprehensive Framework for Learning Declarative Action Models
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